Key result
AI smartwatches show promise for early AF detection but lack proven clinical impact.
Why the study?
Atrial fibrillation is frequently asymptomatic and intermittent, making timely diagnosis challenging, and the evolving landscape of AI-enabled smartwatch detection raises questions regarding its clinical value.
Do AI-enabled smartwatches accurately detect atrial fibrillation in at-risk populations?
Do AI-enabled smartwatches accurately detect atrial fibrillation in at-risk populations?
AI-enabled smartwatches offer a promising, accessible tool for early atrial fibrillation detection, though challenges remain regarding clinical integration, data management, and the risk of healthcare system overload.
Cautions against routine smartwatch AF screening in practice; leaves open need for outcome trials on clinical impact.
Atrial fibrillation (AF) significantly increases the risk of stroke and heart failure, but is frequently asymptomatic and intermittent; therefore, its timely diagnosis poses challenges. Early detection in selected patients may aid in stroke prevention and mitigate structural heart complications through prompt intervention. Smartwatches, coupled with powerful artificial intelligence (AI)-enabled algorithms, offer a promising tool for early detection due to their widespread use, easiness of use, and potential cost-effectiveness. Commercially available smartwatches have gained clearance from the FDA to detect AF and are becoming increasingly popular. Despite their promise, the evolving landscape of AI-enabled smartwatch-based AF detection raises questions about the clinical value of this technology. Following the ongoing digital transformation of healthcare, clinicians should familiarize themselves with how AI-enabled smartwatches function in AF detection and navigate their role in clinical settings to deliver optimal patient care. In this review, we provide a concise overview of the characteristics of AI-enabled smartwatch algorithms, their diagnostic performance, clinical value, limitations, and discuss future perspectives in AF diagnosis.
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Papalamprakopoulou et al. (2024) conducted a review in Atrial fibrillation. AI-enabled smartwatches vs. Standard 12-lead ECG was evaluated. AI-empowered smartwatches show promise for early detection of atrial fibrillation, but consensus on screening and clinical impact remains to be proven.
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